Evaluating Privacy Compliance in Commercial Large Language Models - ChatGPT, Claude, and Gemini
Abstract
The
integration
of
artificial
intelligence
systems
into
various
domains
has
raised
significant
privacy
concerns,
necessitating
stringent
regulatory
measures
to
protect
user
data.
Evaluating
the
compliance
commercial
large
language
models
(LLMs)
such
as
ChatGPT-4o,
Claude
Sonet,
and
Gemini
Flash
under
EU
AI
Act
presents
a
novel
approach,
providing
critical
insights
their
adherence
standards.
study
utilized
hypothetical
case
studies
assess
practices
these
LLMs,
focusing
on
data
collection,
storage,
sharing
mechanisms.
Findings
revealed
that
ChatGPT-4o
exhibited
issues
with
minimization
access
control,
while
Sonet
demonstrated
robust
effective
security
measures.
However,
showed
inconsistencies
in
collection
higher
incidence
anonymization
failures.
comparative
analysis
underscored
importance
tailored
strategies
continuous
monitoring
ensure
compliance.
These
results
provide
valuable
for
developers
policymakers,
emphasizing
necessity
multifaceted
approach
deployment
LLMs.
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Июль 26, 2024
Язык: Английский